Stanford University

Overview

The Bachelor of Science in Computational Biology at Stanford University is a comprehensive four-year program designed for students who are passionate about the intersection of biology and data analysis. This degree equips students with a solid foundation in core scientific principles while emphasizing computational and quantitative skills crucial for modern life sciences. Throughout the program, students engage in elective courses and undertake a capstone-style research project, allowing them to apply their knowledge in practical, real-world contexts.

What you'll study

The curriculum is structured to progressively build expertise from foundational sciences to advanced biological and computational topics. The program includes:

• Foundations (early years): Introductory courses in biology, chemistry, mathematics, physics, and computer science, which lay the groundwork for quantitative analysis.
• Core biology and computational training (middle years): In-depth coursework covering genetics, microbiology, ecology, and the application of statistical methods in biological research.
• Advanced electives (later years): Specialized topics may include neuroscience, infectious diseases, genomics, and ecology, tailored to student interests and departmental offerings.
• Capstone / research component: An independent research experience that allows students to formulate research questions, analyze data, and effectively communicate their findings.

Example course themes

• Problem-solving in infectious disease
• Science as a Creative Process
• Microbiology Experiments
• Ecology
• Genetics
• Organic Chemistry of Bioactive Molecules
• Vector Calculus for Engineers
• Mechanics, Fluids, and Heat

Entry requirements

Admission to the program is based on a holistic review of each applicant's academic record, personal statement, letters of recommendation, and standardized test scores. While there is no set minimum GPA or test score, candidates are encouraged to demonstrate excellence across their application components. Applicants should also confirm any English proficiency requirements if English is not their primary language of instruction.

Career prospects

Graduates of the Computational Biology program are well-prepared for a variety of career paths in fields such as biotechnology, healthcare, environmental science, and academia. They may find opportunities in research institutions, pharmaceutical companies, and governmental agencies, as well as pursuing further studies in graduate programs related to biology, bioinformatics, or computational sciences.